Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Background Many individuals initiating tuberculosis (TB) treatment do not successfully complete the regimen. Understanding variation in treatment outcomes could reveal opportunities to improve the ...

Objectives To identify caregiver burden profiles among informal caregivers of children and adolescents with type 1 diabetes ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the ...

Thermal sensors and synthetic data can help train robots for a wider range of scenarios than traditional sensors alone, says Bifrost AI.

Researchers at The University of Texas MD Anderson Cancer Center have performed a comprehensive evaluation of five artificial ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...

With seed money from Crider Foods, Inc., a multidisciplinary research team led by Dr. Kamran Kardel is working with regional ...